T/SDCEAS 40001-2023 Urban transportation tunnel intelligent operation and maintenance management system construction guideline

Scope

Scope: This guide provides the overall design for the construction of an intelligent operation and maintenance management system for urban traffic tunnels, and offers guidance and basic principles for supporting and ensuring aspects such as full data perception, comprehensive services, and integrated business management. This guide is applicable to the design, construction, operation, and maintenance of intelligent operation and maintenance management systems for urban traffic tunnels. Main technical content: Urban traffic tunnel operation and maintenance intelligence is part of smart cities and smart transportation, and an important approach to digital transportation. It should be based on the dual-driven of data intelligence and business guidance, and use informatization methods to serve the operational and management needs of urban traffic tunnels, achieving the transformation of traditional urban traffic tunnel operation and maintenance management to intelligent systems. The improvement of urban traffic tunnel operation and maintenance intelligence should differ from traditional technologies in terms of visualization, integration, and intelligence, and realize applications such as online comprehensive monitoring, asset management, inspection and maintenance management, defect and fault management, emergency response, and structural safety management, significantly improving the efficiency of various tasks and enhancing tunnel operation and maintenance levels and emergency response capabilities. For the later operation and maintenance of urban traffic tunnels, it should be based on complete information resources, scientifically and systematically quantify indicators, deeply analyze and mine operation and maintenance data, promote the online operation of operation and maintenance business, and achieve the optimization of operation and maintenance effects and efficiency, reduce operation and maintenance costs. Taking data-driven as the core, comprehensively reali

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